Description

You will develop, deploy, and maintain machine learning models to solve complex data problems.

This role is on-site.

Responsibilities

• Develop and deploy ML models using Python for prediction, classification, NLP, and recommendation systems.
• Perform data exploration, feature engineering, and rigorous model evaluation.
• Operationalize models with engineering teams, including performance monitoring and retraining.
• Implement MLOps practices and CI/CD pipelines for ML model deployment.

Required Skills

• 5+ years of experience as a Data Scientist.
• Strong proficiency in Python for data science and machine learning.
• Hands-on experience with TensorFlow and PyTorch.
• Proficiency with SciKit-learn.
• Strong knowledge of statistics, probability, and linear algebra.
• Experience with SQL and big data tools like Spark.
• Knowledge of MLOps and CI/CD for ML models.
• Experience deploying models in cloud environments (AWS, Azure, or GCP).

Preferred Skills

• Familiarity with NLP, computer vision, or recommendation systems.

Key Skills

Education

Any Gradute